Classification of diverse plastic samples by LIBS and Raman data fusion

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dc.contributor.authorHolub, Danielcs
dc.contributor.authorPalásti, Dávid Jenőcs
dc.contributor.authorFintor, Krisztiancs
dc.contributor.authorPořízka, Pavelcs
dc.contributor.authorGalbács, Gáborcs
dc.contributor.authorKaiser, Jozefcs
dc.coverage.issue5cs
dc.coverage.volume134cs
dc.date.issued2024-04-15cs
dc.description.abstractThe plastic production and usage in the world is steadily increasing. This leads to increased amounts of plastic waste. Most of the waste could be potentially recycled, but only 14 % of plastic waste is recycled. In order to increase the share of recycling in plastic waste management, the recycling process should be completely automated. The problematic part of sorting is being solved by either manual (labor-intensive) or spectroscopy-based (still in development) methods. In this work, we propose the data fusion of Laser-Induced Breakdown Spectroscopy (LIBS) and Raman spectroscopy as a fast, robust, and reliable way to sort/classify any potential polymer material. The sample set of this work consists of several types of polymers in clear, colored, and even mixture versions. So far, no LIBS/Raman classification works involved all these categories in one experiment. Additionally, the low and medium level of data fusion is discussed, and the performance is compared. By using LIBS and Raman data fusion method and both linear and nonlinear chemometric techniques, increased accuracy reaching more than 98 % in the classification of investigated plastic samples was achieved, which was a significant improvement when compared with singular methods classification accuracy.en
dc.formattextcs
dc.format.extent17cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationPOLYMER TESTING. 2024, vol. 134, issue 5, 17 p.en
dc.identifier.doi10.1016/j.polymertesting.2024.108414cs
dc.identifier.issn0142-9418cs
dc.identifier.orcid0000-0002-3697-2747cs
dc.identifier.orcid0000-0002-8604-7365cs
dc.identifier.orcid0000-0002-7397-125Xcs
dc.identifier.other188559cs
dc.identifier.researcheridG-9463-2014cs
dc.identifier.researcheridD-6800-2012cs
dc.identifier.scopus55312098800cs
dc.identifier.scopus7402184758cs
dc.identifier.urihttp://hdl.handle.net/11012/245510
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofPOLYMER TESTINGcs
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0142941824000916cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0142-9418/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectLaser-Induced Breakdown Spectroscopyen
dc.subjectRaman spectroscopyen
dc.subjectpolymersen
dc.subjectdata fusionen
dc.subjectdata analysisen
dc.subjectchemometric techniquesen
dc.subjectclassificationen
dc.titleClassification of diverse plastic samples by LIBS and Raman data fusionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-188559en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:48:26en
sync.item.modts2025.01.17 16:33:20en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav fyzikálního inženýrstvícs
thesis.grantorVysoké učení technické v Brně. . University of Szegedcs
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Pokročilé instrumentace a metody pro charakterizace materiálůcs
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